Kolada MCP Server
About
A standalone MCP server that provides AI applications with access to Sweden's Kolada municipal statistics API. It enables natural language queries against thousands of Key Performance Indicators covering Swedish public sector data. Designed for developers and data analysts…
Details
- Transport
- SSE
Explore
- 9 MCP Tools for comprehensive data access
- Semantic Search using Swedish BERT embeddings
- No External Dependencies - fully standalone (no Mima or Redis)
- Containerized with Docker support
- Modern Python 3.11+ with type hints and async/await
Setting up with Highlight
This MCP is not yet compatible with Highlight’s one-click setup. However, you can still use it with Highlight by following these steps:
- Download and install Highlight from highlightai.com/download
- Navigate to the plugins tab and select "Add Custom Plugin"
-
Configure the plugin with the settings below
Plugin Name
Kolada MCP ServerCommand (node, npx, python, etc.)Please refer to the README for specific instructions on how to obtain API keys or other required environment variables.
- Enable "Start Automatically" if you want the plugin to start when Highlight launches
From the repository
Environment variables:
| Variable | Default | Description |
|----------|---------|-------------|
| MCP_TRANSPORT | stdio | Transport mode (stdio or http) |
| PORT | 8001 | HTTP server port |
| LOG_LEVEL | INFO | Logging level |
python -m venv .venv
source .venv/bin/activate
pip install -e ".[dev]"
pytest
```
list_operating_areas
List all KPI categories with counts
get_kpis_by_operating_area
Get KPIs within a specific category
search_kpis
Semantic search for KPIs using natural language
get_kpi_metadata
Get detailed metadata for a specific KPI
fetch_kolada_data
Fetch raw KPI data for municipalities
analyze_kpi_across_municipalities
Comparative analysis with rankings
compare_kpis
Compare two KPIs (difference or correlation)
list_municipalities
List municipalities/regions
filter_municipalities_by_kpi
Filter by KPI threshold
| Tool | Description |
|------|-------------|
| list_operating_areas | List all KPI categories with counts |
| get_kpis_by_operating_area | Get KPIs within a specific category |
| search_kpis | Semantic search for KPIs using natural language |
| get_kpi_metadata | Get detailed metadata for a specific KPI |
| fetch_kolada_data | Fetch raw KPI data for municipalities |
| analyze_kpi_across_municipalities | Comparative analysis with rankings |
| compare_kpis | Compare two KPIs (difference or correlation) |
| list_municipalities | List municipalities/regions |
| filter_municipalities_by_kpi | Filter by KPI threshold |
Claude Desktop / Cursor
Paste into your MCP client config file to install this server.
{
"mcpServers": {
"kolada mcp server": {
"kolada-mcp": {
"command": "python",
"args": [
"-m",
"kolada_mcp"
]
}
}
}
}McpServers
{
"kolada-mcp": {
"command": "python",
"args": [
"-m",
"kolada_mcp"
]
}
}A clean, standalone MCP (Model Context Protocol) server for Sweden's Kolada municipal statistics API.
Overview
This server provides AI applications with access to Sweden's comprehensive municipal and regional statistics database. It enables natural language queries against thousands of Key Performance Indicators (KPIs) covering various aspects of Swedish public sector data.
Features
- 9 MCP Tools for comprehensive data access
- Semantic Search using Swedish BERT embeddings
- No External Dependencies - fully standalone (no Mima or Redis)
- Containerized with Docker support
- Modern Python 3.11+ with type hints and async/await
Available Tools
| Tool | Description |
|------|-------------|
| list_operating_areas | List all KPI categories with counts |
| get_kpis_by_operating_area | Get KPIs within a specific category |
| search_kpis | Semantic search for KPIs using natural language |
| get_kpi_metadata | Get detailed metadata for a specific KPI |
| fetch_kolada_data | Fetch raw KPI data for municipalities |
| analyze_kpi_across_municipalities | Comparative analysis with rankings |
| compare_kpis | Compare two KPIs (difference or correlation) |
| list_municipalities | List municipalities/regions |
| filter_municipalities_by_kpi | Filter by KPI threshold |
Installation
Using pip
pip install -e .
Using Docker
docker-compose up -d kolada-mcp
Usage
Stdio Mode (Default)
```bash
kolada-mcp
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